Control method and device for evaluating data value of each participant in federated learning

Abstract

The invention provides a control method for evaluating the data value of each participant in federated learning. The control method comprises the following steps: a, determining a mathematical expectation V that one participant is added into a joint model in different sequences; b, determining the sum W of contribution scores of all gradients added into the joint model by the participant; c, determining the participant data value based on the mathematical expectation V and the contribution score sum W; and d, repeatedly executing the steps a to c until the data values of all participants are determined. According to the method, two angles influencing the data contribution of each participant, namely the influence of the actual value and marginal effect of the data of each participant on the contribution of each participant, are comprehensively considered, and the data contribution of each participant can be measured more fairly. Meanwhile, the problem that data dimensions or numbers of participants are different is considered, and the probability that the participants enter the joint model in different sequences is continuously updated according to the thought of sampling statistics. The method is simple in process, convenient to use, powerful in function and extremely high in value.

Description

technical field [0001] The invention belongs to the field of computer applications, and in particular relates to a control method and device for evaluating the data value of each participant in federated learning. Background technique [0002] In real life, except for a few giant companies that can meet the requirements, most enterprises have the problem of small amount of data and poor data quality, which is not enough to support the realization of artificial intelligence technology; at the same time, domestic and foreign regulatory environments are gradually strengthening data protection, and successively introduced Relevant policies, such as the new law "General Data Protection Regulation" (GDPR) recently introduced by the European Union, and the "Data Security Management Measures (Draft for Comment)" drafted by my country's State Internet Information Office, so data can flow freely under the premise of security compliance , has become the general trend; from the perspectiv...

AI Technical Summary

Problems solved by technology

[0005] At present, there is no specific solution on the market that can effectively solve the above problems, especially a control method and device for evaluating the data value of each participant in federated learning

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